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About the Role

The Vice President and Global Head of AI for Drug Discovery (AIDD) will lead a world-class artificial intelligence and machine learning department focused on designing therapeutics across the Roche/Genentech Research and Early Development (RED) portfolio. This role is critical in advancing AI and computational methods across Research and Early Development at Roche.

Responsibilities

Build, scale, and deploy cutting-edge AI methodologies, models, and computational frameworks for antibody design, protein engineering, and small molecule design.
Partner with Discovery, Early Development, Therapeutic Area leads, and Translational teams to ensure developed methods are applicable across the Roche/Genentech portfolio.
Build and mentor an elite team of AI scientists, machine learning engineers, and computational researchers.
Forge strategic partnerships across Genentech Research and Early Development (gRED), Roche Pharma Research and Early Development (pRED), and the external AI community.
Define and execute an AI-driven drug discovery strategy, roadmap, and long-term vision.
Set the strategy for Roche/Genentech’s pioneering Lab-in-the-Loop with partners across the REDs.
Drive measurable portfolio impact by embedding AI into discovery programs across gRED and pRED.
Champion hypothesis-driven drug discovery by integrating predictive computational methods, antibody design, protein engineering and medicinal chemistry.
Track the external state of the art, including in co-folding and generative models and decide where to build, adopt or partner.
Build an environment where state-of-the-art AI research can flourish, managing a balanced portfolio of AI investments.
Build and lead the global AIDD organization, including AI/ML scientists and engineers and their managers.
Pioneer a strategic shift of drug discovery across Roche/Genentech by ensuring state-of-the-art computational models accelerate design and optimization.
Set the overall strategy and make critical decisions regarding talent, infrastructure, resourcing, and capability development for the AIDD organization.
Contribute to the strategic direction of all computational research across Research and Early Development at Roche/Genentech.
Run the AIDD organization as a disciplined, global operation, owning budget and resource allocation.
Drive sustained investment in engineering and platform capabilities that underpin all research and portfolio work.
Establish AIDD as the central engine for applying generative AI, machine learning, and predictive modeling to structural biology, molecular design, and lead optimization.
Translate state-of-the-art AI advancements into tangible drug discovery outcomes by building, scaling, and deploying proprietary foundation models, deep learning architectures, and automated design loops.
Set the foundation model strategy for Roche/Genentech drug discovery.
Spearhead the integration of autonomous agent systems, high-throughput active learning, and AI-driven workflows.
Build a cohesive culture and cultivate a high-performance organization.
Lead by example to foster open communication, prioritize collaboration, and continuously improve through feedback.
Optimize the allocation of global resources based on Roche/Genentech's strategic priorities.
Own the strategy for hiring, developing, and retaining elite global talent within the organization.

Requirements

Advanced degree (Ph.D. or equivalent) in Computer Science, Artificial Intelligence, Computational Chemistry, Machine Learning, Computational Biology, or a related quantitative field.
Familiarity with drug discovery - molecule design and therapeutic discovery.
Expertise in modern artificial intelligence, deep learning architectures, generative models, and ideally molecular modeling, and computational drug discovery.
Demonstrated experience with advancing state-of-the-art AI infrastructure.
Record of leading foundation model or large-scale engineering efforts, or of building research groups recognized in the external AI community.
Demonstrated ability to lead large, multidisciplinary teams and foster global collaboration.
Exceptional communication skills.
Ability to thrive in ambiguity and bring clarity to the team's objectives.
Ability to define and communicate a clear mission and vision for the department and also pivot the vision and the team quickly in a rapidly shifting and growing environment.
Track record of operating a large, multi-site organization, including budget ownership, org design, and building engineering or platform functions.
Commitment to building trust on all levels and fostering a culture that allows for free speaking and continuous improvement through feedback.
Prioritizing collaboration with gRED and pRED partners and leveraging synergies within the CS CoE.
Taking ownership and maintaining a sharp focus on delivering results to the portfolio for the benefit of patients.

Skills

Artificial Intelligence
Machine Learning
Antibody Design
Protein Engineering
Small Molecule Design
Deep Learning Architectures
Generative Models
Molecular Modeling
Computational Drug Discovery
Foundation Models
Generative AI
Predictive Modeling
Structural Biology
Autonomous Agent Systems
High-throughput Active Learning
Data Science

Location

New York
San Francisco
Basel

Work Type

Global Role
Frequent international business travel required

Experience Level

Vice President
Global Head

Education Level

Ph.D. or equivalent

Salary/Compensations

$364,140 - $449,820
Discretionary annual bonus may be available

Benefits

Benefits detailed at the link provided below

About the Company

Genentech is a leading biotechnology company focused on research and development to discover and develop medicines for people with serious and life-threatening diseases.

Equal Opportunity

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence.
The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.